Comprehensive two dimensional liquid chromatography as analytical strategy for pharmaceutical analysis

Iguiniz, Marion; Rouvière, Florent; Corbel, Estelle; Roques, Nicolas; Heinisch, Sabine

doi:10.1016/j.chroma.2017.08.070

Cited by 30 publications

(10 citation statements)

References 25 publications

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“…The S LSS parameter has also been used as a measure for orthogonality (i.e. the degree to which the two dimensions have different selectivities) [65,66]. S LSS is expected to be similar for compounds of similar molecular weight, but for a given sample it may vary.…”

Section: Methodsmentioning

confidence: 99%

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Recent applications of retention modelling in liquid chromatography

Uijl

Schoenmakers

Pirok

et al. 2020

J of Separation Science

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Recent applications of retention modelling in liquid chromatography (2015–2020) are comprehensively reviewed. The fundamentals of the field, which date back much longer, are summarized. Retention modeling is used in retention‐mechanism studies, for determining physical parameters, such as lipophilicity, and for various more‐practical purposes, including method development and optimization, method transfer, and stationary‐phase characterization and comparison. The review focusses on the effects of mobile‐phase composition on retention, but other variables and novel models to describe their effects are also considered. The five most‐common models are addressed in detail, i.e. the log‐linear (linear‐solvent‐strength) model, the quadratic model, the log–log (adsorption) model, the mixed‐mode model, and the Neue–Kuss model. Isocratic and gradient‐elution methods are considered for determining model parameters and the evaluation and validation of fitted models is discussed. Strategies in which retention models are applied for developing and optimizing one‐ and two‐dimensional liquid chromatographic separations are discussed. The review culminates in some overall conclusions and several concrete recommendations.

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Section: Methodsmentioning

confidence: 99%

“…[66] and applied to a RPLC×RPLC separation for peptides of Iguiniz et al. [65], which was able to separate more compounds than the prior 1DLC method. The use of LSS parameters for the degree of orthogonality is novel, although more studies are required to validate the approach.…”

Section: Methodsmentioning

confidence: 99%

Recent applications of retention modelling in liquid chromatography

Uijl

Schoenmakers

Pirok

et al. 2020

J of Separation Science

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“…Examples of comprehensive 2D-LC in combination with MS for pharmaceutical analysis were recently given by Heinisch et al 97,98 . In their studies, the authors defined generic 2D-LC systems that can be used to improve the knowledge on impurities during drug development significantly.…”

Section: Lc-ms Instrumentationmentioning

confidence: 99%

“…In their studies, the authors defined generic 2D-LC systems that can be used to improve the knowledge on impurities during drug development significantly. For this purpose, the degree of orthogonality and the practical peak capacity of 190 RPLC x RPLC configurations was first assessed for two real pharmaceutical samples 97 . Out of these 190 combinations, three RPLC x RPLC configurations with the same second dimension were selected that provided i) a very high peak capacity for the first configuration, ii) a sufficient degree of orthogonality between the first and second dimension for the other two configurations, iii) a second-dimension column capable of withstanding high temperatures and iv) second dimension conditions that were MS compatible.…”

Section: Lc-ms Instrumentationmentioning

confidence: 99%

Current developments in LC-MS for pharmaceutical analysis

Beccaria

Cabooter

2020

Analyst

171

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“…In line with this, 2D-LC consisting of two RPLC dimensions has been recently evaluated as the most attractive choice, among 190 combinations of chromatographic systems, for the analysis of pharmaceutical samples in the early stages of drug development. 26 In addition to RPLC, SFC is also a potentially attractive technique as a fast second dimension ( Figure 4). In this context, several 2D-LCxSFC applications have recently been proposed for simultaneous achiral-chiral analysis, 27 25 It is clear that the greatest challenge in 2D-LC method development is to overcome incompatibility between the solvent systems, namely, the influence that the effluent of the first dimension can have on the performance of the second dimension.…”

Section: Applicability Of 2d-lcmentioning

confidence: 99%